Program Analysis Research Articles

Analysis of music teacher education programs in Puerto Rico

This article presents a descriptive analysis of eight music teacher education programs in Puerto Rico. Within the international landscape, music education in Puerto Rico faces obstacles similar to other countries in the form of government cutbacks and limited offerings in school settings. This study presents an analysis and evaluation of the curricular characteristics of music education bachelor’s degrees and a depiction of preservice music teacher education in the country. This was achieved through the use of the Project ALFA II-0448-A analysis matrix, an instrument that compiles four forms of data: (a) general information; (b) history of the program, (c) structure and duration; and (d) curricular principles. Information was obtained from the official web pages of each institution and/or department. Comparisons with programs in other countries reveal a propensity to adopt foreign music education models, with our analysis also outlining the implications of adopting external approaches. Musical instruction in Puerto Rican music teaching degrees is exclusively on Western art music; none of the programs offer musical instruction through popular music or the country’s traditional music or music-pedagogical lessons conducive to teaching such art forms. The lack of education in popular and Indigenous music renders it challenging for music educators to offer school-level students culturally responsive music lessons. The case of Puerto Rico thus demonstrates the perpetuation of European cultural hegemony in higher music education spaces, driven by adherence to foreign standards and approaches to music pedagogy that emanate from the global north.

Pitching the Tent: Understanding the Arctic Circle 2013–2023

ABSTRACT The aim of this article is to examine in greater detail the Arctic Circle at the end of its first decade. Gaining more and better insight into the Arctic Circle’s own roles and significance is not just a useful contribution in its own right, but is also likely to shed fresh light on the Arctic conferencing and Arctic governance academic literature. Through an analysis of Arctic Circle assembly programmes and other materials, it is argued here that the Arctic Circle has emerged playing a multidimensional role on the world stage. Thus, the Arctic Circle’s importance is best understood from a range of different perspectives, the most apparent of which are articulated and discussed here.

Molecular hydrogen as a biological marker and a drug

The aim of the review was to examine the main characteristics of hydrogen ion metabolism and its hemostatic function in the human body. For diagnostic purposes, molecular hydrogen (H2) is considered a biological marker. The results of the analysis of therapeutic programs for the clinical use of hydrogen are presented. The use of H2 as a drug in the treatment of more than 170 diseases is also discussed.Conclusion. The use of H2 in various fields of medicine, including oncological diseases, is actively studied based on experimental biological experiments and clinical trials.

Spectroscopic, structural characterization, along with DFT calculation, of a new cadmium(II) acetato meso-arylporphyrin: Theoretical study on NO2, CO2, N2, NO2, and SO2 gas-sensing and analysis of electrical conductance and dielectric properties

The paper presents a combined experimental and computational investigation of the cadmium(II) (acetato)‑meso-tetra(para-methoxyphenyl)porphyrin ion complex [Cd(TMPP)(OAc)]- (complex 1), which was prepared by the reaction of [Cd(TMPP)] with an excess of NaOAc and crysptand-222 in chloroform. This new Cd(II) meso‑arylporphyrin was characterized by elementary analysis and UV–Vis, IR, and 1H NMR spectroscopic techniques along with single crystal X-ray diffraction. This later study shows that the Cd2+center ion adopts a distorted square pyramidal geometry and is coordinated by the four nitrogens of the TMPP porphyrinate and the oxygen atom of the acetato axial ligand. The intermolecular interactions in the crystal lattice of [Cd(TMPP)(OAc)]-, determined using the PLATON program and Hirshfeld surfaces analysis, are of types O__H…O, C__H…H, C__H…Cl, C__H…Cg and C__Cl…Cg (Cg is the centroid of a phenyl or a pyrrole ring) involving the [Cd(TMPP)(OAc)]- ion complex, the [Na(crypt-222)]+ counterion, and the chloroform and water molecules found in the crystal lattice of complex 1. Using DFT calculations at the DFT/B3LYP-D3/lanL2DZ level of theory HOMO–LUMO orbitals of 1 and several global reactive parameters of this compound were calculated. The 3D-MEP plots of [Cd(TMPP)(OAc)]- were also determined. This theoretical study includes the sensing properties of complex 1 and the NO2, CO2, N2, and SO2 gas molecules. Furthermore, experimental tests have been carried out concerning the impedance and dielectric spectroscopy of the InGa/[Cd(TMPP)(OAc)]/InGa device.

The ART of Sharing Points-to Analysis: Reusing Points-to Analysis Results Safely and Efficiently

Data-flow analyses like points-to analysis can vastly improve the precision of other analyses, and enable powerful code optimizations. However, whole-program points-to analysis of large Java programs tends to be expensive – both in terms of time and memory. Consequently, many compilers (both static and JIT) and program-analysis tools tend to employ faster – but more conservative – points-to analyses to improve usability. As an alternative to such trading of precision for performance, various techniques have been proposed to perform precise yet expensive fixed-point points-to analyses ahead of time in a static analyzer, store the results, and then transmit them to independent compilation/program-analysis stages that may need them. However, an underlying concern of safety affects all such techniques – can a compiler (or program analysis tool) trust the points-to analysis results generated by another compiler/tool? In this work, we address this issue of trust in the context of Java, while accounting for the issue of performance. We propose ART: Analysis-results Representation Template – a novel scheme to efficiently and concisely encode results of flow-sensitive, context-insensitive points-to analysis computed by a static analyzer for use in any independent system that may benefit from such a precise points-to analysis. ART also allows for fast regeneration of the encoded sound analysis results in such systems. Our scheme has two components: (i) a producer that can statically perform expensive points-to analysis and encode the same concisely, (ii) a consumer that, on receiving such encoded results (called artwork), can regenerate the points-to analysis results encoded by the artwork if it is deemed “safe”. The regeneration scheme completely avoids fixed-point computations and thus can help consumers like static analyzers and JIT compilers to obtain precise points-to information without paying a prohibitively high cost. We demonstrate the usage of ART by implementing a producer (in Soot) and two consumers (in Soot and the Eclipse OpenJ9 JIT compiler). We have evaluated our implementation over various benchmarks from the DaCapo and SPECjvm2008 suites. Our results demonstrate that using ART, a consumer can obtain precise flow-sensitive, context-insensitive points-to analysis results in less than (average) 1% of the time taken by a static analyzer to perform the same analysis, with the storage overhead of ART representing a small fraction of the program size (average around 4%).

A Modal Type Theory of Expected Cost in Higher-Order Probabilistic Programs

The design of online learning algorithms typically aims to optimise the incurred loss or cost , e.g., the number of classification mistakes made by the algorithm. The goal of this paper is to build a type-theoretic framework to prove that a certain algorithm achieves its stated bound on the cost. Online learning algorithms often rely on randomness, their loss functions are often defined as expectations, precise bounds are often non-polynomial (e.g., logarithmic) and proofs of optimality often rely on potential-based arguments. Accordingly, we present pλ-amor, a type-theoretic graded modal framework for analysing (expected) costs of higher-order probabilistic programs with recursion. pλ-amor is an effect-based framework which uses graded modal types to represent potentials, cost and probability at the type level. It extends prior work (λ-amor) on cost analysis for deterministic programs. We prove pλ-amor sound relative to a Kripke step-indexed model which relates potentials with probabilistic coupling. We use pλ-amor to prove cost bounds of several examples from the online machine learning literature. Finally, we describe an extension of pλ-amor with a graded comonad and describe the relationship between the different modalities.

Scaling Abstraction Refinement for Program Analyses in Datalog using Graph Neural Networks

Counterexample-guided abstraction refinement (CEGAR) is a popular approach for automatically selecting abstractions with high precision and low time costs. Existing works cast abstraction refinements as constraint-solving problems. Due to the complexity of these problems, they cannot be scaled to large programs or complex analyses. We propose a novel approach that applies graph neural networks to improve the scalability of CEGAR for Datalog-based program analyses. By constructing graphs directly from the Datalog solver’s calculations, our method then uses a neural network to score abstraction parameters based on the information in these graphs. Then we reform the constraint problems such that the constraint solver ignores parameters with low scores. This in turn reduces the solution space and the size of the constraint problems. Since our graphs are directly constructed from Datalog computation without human effort, our approach can be applied to a broad range of parametric static analyses implemented in Datalog. We evaluate our approach on a pointer analysis and a typestate analysis and our approach can answer 2.83× and 1.5× as many queries as the baseline approach on large programs for the pointer analysis and the typestate analysis, respectively.

Monotone Procedure Summarization via Vector Addition Systems and Inductive Potentials

This paper presents a technique for summarizing recursive procedures operating on integer variables. The motivation of our work is to create more predictable program analyzers, and in particular to formally guarantee compositionality and monotonicity of procedure summarization. To summarize a procedure, we compute its best abstraction as a vector addition system with resets (VASR) and exactly summarize the executions of this VASR over the context-free language of syntactic paths through the procedure. We improve upon this technique by refining the language of syntactic paths using (automatically synthesized) linear potential functions that bound the number of recursive calls within valid executions of the input program. We implemented our summarization technique in an automated program verification tool; our experimental evaluation demonstrates that our technique computes more precise summaries than existing abstract interpreters and that our tool’s verification capabilities are comparable with state-of-the-art software model checkers.

Public health impact and return on investment of the pediatric National Immunization Program in Italy

ABSTRACT Objectives We conducted a cost–benefit analysis of the pediatric National Immunization Program (NIP) in Italy. Methods An economic model evaluated the benefit–cost ratio (BCR) of the Italian pediatric NIP, including 10 pathogens for mandatory vaccines and 4 pathogens for recommended vaccines for children aged 0–10 years from the healthcare-sector and societal perspectives. Separate decision trees were used to model each vaccine-preventable disease (VPD). The 2020 birth cohort (n = 420,084) was followed over their lifetime; the model projected and compared discounted disease cases, life-years, quality-adjusted life-years (QALYs), and costs (2021 euros) with and without immunization (based on current and pre – vaccine era disease incidence estimates, respectively). Results The pediatric NIP was estimated to prevent 1.8 million cases of VPDs and 3,330 deaths, resulting in 45,900 fewer life-years lost and 57,000 fewer QALYs lost. Vaccination costs of €285 million were offset by disease cost savings of €1.6 billion, resulting in a BCR of 5.6 from a societal perspective (BCR = 1.7 from a healthcare-sector perspective). When QALYs gained were valued, the BCR increased to 15.6. Conclusions The benefits of the Italian pediatric NIP, including averted disease-related morbidity, mortality, and associated costs, highlight the value of continued investment in pediatric immunization.

“I Don’t Know Whether It’s Priority, or Capacity, or Both”: Implementation Gaps in Employment Policies Targeting People with Disabilities in Kenya and Bangladesh

Disabled people are often excluded from employment, particularly in accessing waged employment. This exclusion persists despite enabling policies and legislature, indicating a need to address gaps in implementation. To improve policy implementation, it is crucial to better understand the gap between policy intention (what was planned) and effect (what happens), including reasons that widen this gap (what explains what happened). This study explores this in the context of Kenya and Bangladesh, drawing on key informant interviews and analysis of policies and programmes related to employment, social protection, and disability. Using the policy triangle framework, we analysed the policy context, process, actors, and content of relevant policies and programmes. The study identified key policy provisions on employment quota, social assistance, job placement services, tax incentives, and training opportunities, all of which were designed to promote employment for disabled people. However, implementation is limited in both countries, for reasons including ambiguity in policies, unavailability of data for monitoring, and lack of transparency among implementers. The data suggest that addressing these aspects would promote accountability among duty-bearers, advocacy power among rights-holders, and ultimately improve implementation and inclusion of disabled people in employment.

The Integration of Pre-Service Training and In-Service Support Models in Canada and Their Impact on Multicultural Education

This paper explores the integration of pre-service training and in-service support models for immigrant teachers in Canada and examines how these mechanisms assist in their adaptation to the Canadian education system and diverse cultural environments. The study discusses the unique challenges faced by immigrant teachers, including credential recognition, cultural adjustment, and the potential for bias or discrimination. Through an analysis of training programs and professional development opportunities, the paper highlights the importance of mentorship, cultural awareness, and continuous language and career support in promoting the success of immigrant teachers. Furthermore, the paper evaluates the impact of immigrant teachers on multicultural education, emphasizing their role in fostering inclusive classrooms and improving student outcomes. By creating a dynamic and diverse workforce, the integration of these models contributes to the development of an equitable and responsive education system that reflects the multicultural nature of Canadian society.

S1451 Efficacy and Safety Profile of Etrasimod Was Not Impacted by Baseline Disease Activity: A Post Hoc Analysis of the ELEVATE UC Program

S1451 Efficacy and Safety Profile of Etrasimod Was Not Impacted by Baseline Disease Activity: A Post Hoc Analysis of the ELEVATE UC Program

Completion and Conditionality: A Parsimonious Analysis of IMF Programs

A feature of IMF programs is the relatively large proportion that are not carried through to completion. One explanation is that excessive conditionality undermines ownership and commitment to IMF-favored policy reform. The IMF’s “streamlining” initiative in the early 2000s was intended to limit conditionality and thereby improve the completion rate. This paper empirically investigates the relationship between conditionality and completion. For the full period, 1980–2019, it discovers no statistically significant relationship between them at the aggregate level. It goes on to examine the ways in which this result can be interpreted and discusses the implications for reform.

Political rule (vs. opposition) predicts whether ideological prejudice is stronger in U.S. conservatives or progressives.

People see societal groups as less moral, warm, and likable if their ideology is more dissimilar to the ideology of the self (i.e., ideological prejudice). We contribute to the debate on whether ideological prejudice in the United States is stronger in conservatives, progressives, or neither. Investigating the American National Election Studies, we found that between 1972 and 2021, ideological prejudice was stronger in conservatives. However, investigating studies conducted to develop the agency-beliefs-communion model, we found that between 2016 and 2021, ideological prejudice was stronger in progressives. We report various analyses of both research programs and two new studies that rule out several explanations for this contradiction. Additional analytic and experimental evidence suggests that political rule (vs. opposition) may explain the robust heterogeneity in asymmetric ideological prejudice. Ideological prejudice shifted toward being stronger in conservatives when the United States was governed by Democrats and toward being stronger in progressives when the United States was governed by Republicans. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Academic Supervision at SMA Negeri 18 Palembang

Minister of National Education Regulation Number 13 of 2007 explains the ability of school principals to understand the Competency Standards of School Principals. The competence of the school principal based on the Minister of National Education Regulation consists of four components. The competency of the principal is an absolute ability to be mastered and practiced by the principal to lead and guide his subordinates within the scope of the school. One form of application is to carry out supervision competencies. This competency is a real action by the principal to improve the professionalism of teachers. The content of the activity is to approach using appropriate supervision techniques and then follow up. Looking at the results of the analysis of the supervision program in general at SMAN 18 Palembang, it should be followed up in order to improve the quality of educators such as: teachers have not developed and implemented an active learning process, teachers’ understanding of creative learning activities has not been maximized, and learning indicators and programs have not been developed holistically. It is an obligation for the principal to carry out comprehensive and systematic supervision and detail the opportunities for activities to be held along with the feedback from the supervision activities carried out. It is expected to boost the quality of learning for teachers and students in the classroom.

Bridging the Talent Divide: An Empirical Analysis of Certification Programs as a Tool for Strategic Workforce Development

In the face of persistent talent shortages in high-demand fields, organizations are increasingly turning to certification programs as a strategic tool for talent acquisition and development. This article investigates the efficacy of such programs in addressing critical skill gaps, focusing on their design, implementation, and measurable impact on workforce dynamics. Through a mixed-methods approach combining case studies from three industry-leading organizations and a large-scale survey of HR professionals (n=500), we analyze the key components of successful certification initiatives and their effects on recruitment metrics, including time-to-hire, quality of new hires, and long-term retention. Our findings reveal that well-designed certification programs can significantly reduce recruitment costs by up to 35% while improving the quality of new hires by 28% compared to traditional recruitment methods. Moreover, we identify best practices in program design, including the integration of cutting-edge learning technologies and alignment with organizational needs. This article contributes to the growing body of literature on strategic talent management by providing empirical evidence of the value of certification programs and offering a framework for their effective implementation in addressing skill shortages in rapidly evolving industries

CSR and Sustainable Development in India: A Study of Environmental Initiatives by Indian Corporations

This research paper explores the intersection of Corporate Social Responsibility (CSR) and sustainable development in India, focusing on environmental initiatives undertaken by Indian corporations. Given the growing significance of CSR in addressing environmental challenges, the study employs a qualitative analysis of various CSR programs across industries, supplemented by quantitative data to evaluate their effectiveness. The findings reveal that while many companies have integrated CSR into their business strategies, significant challenges remain, including regulatory complexities and the need for greater stakeholder engagement. Key results indicate that approximately 70% of Indian corporations have begun adopting Environmental, Social, and Governance (ESG) criteria, reflecting a shift towards responsible governance. The implications of these findings highlight the critical role of CSR in achieving sustainable development goals and fostering corporate accountability. Furthermore, the paper outlines future directions for CSR in India, emphasizing the importance of digital transformation, climate resilience, and collaborative partnerships. By identifying emerging trends and areas for improvement, this study aims to provide a roadmap for corporations looking to enhance their CSR initiatives and contribute meaningfully to sustainable development in India.

EVOLUTION OF E-GOVERNMENT IN KAZAKHSTAN: FROM FORMATION TO DIGITAL TRANSFORMATION (2004-2022)

The article is dedicated to analyzing the development of e-government in Kazakhstan from 2004 to 2022. The study examines key stages and achievements in the digitalization of public administration, from the initial steps of creating basic infrastructure to comprehensive digital transformation. Special attention is given to the analysis of government programs and initiatives aimed at improving the quality of services provided, enhancing transparency, and increasing the efficiency of government agencies. The study's findings highlight significant progress in Kazakhstan's digitalization of public administration and demonstrate a successful evolution from the initial stages to a mature and integrated system of digital services. The results of the article can be useful for further improving e-government and developing new digital transformation strategies.

Experimental and numerical investigation of flexural behavior of precast tunnel segments with hybrid reinforcement

Precast concrete segments reinforced with a combination of steel fibers and conventional rebar (RC-SFRC) have gained prominence in the mechanized construction of tunnels in recent years due to the advantages offered by this hybrid reinforcement solution in enhancing the mechanical behavior of these structural members. This research aims to understand better the flexural behavior of RC-SFRC tunnel segments proposed to replace conventional reinforcement in São Paulo Metro Line 5. An experimental program and numerical analyses using a multiscale model were conducted to predict the post-cracking parameters of SFRC through three-point bending tests according to EN14651 and assess the flexural behavior of full-scale tunnel segments. In both scenarios, 2D multiscale numerical models with discrete and explicit representations of the reinforcements were applied. The comparison of numerical and experimental results in terms of crack width, mean crack spacing, deflection, and the ultimate and service loads derived from design predictions demonstrate that the proposed RC-SFRC reinforcement represents an advantageous alternative, significantly enhancing the performance of the segments for both serviceability and ultimate limit states. Furthermore, the responses show that the adopted numerical strategy is promising and can be consolidated as a tool for optimizing the design process.

Institutional, humane, therapeutic: Towards an understanding of caregiver violence through third sector violence prevention discourse in Finland.

Violence in family caregiving, once a social taboo, is now emerging as a topic of scientific inquiry. Engaging with a non-normative approach to care and critical reflection on research of abusive caregiver behaviour and elder abuse, this study argues that as caregiver violence is increasingly addressed in research, it is crucial to understand it as a complex issue within its social context. The study adds to this understanding by conducting a discourse analysis of violence prevention programmes in Finland, where third sector organisations have taken the initiative in addressing caregiver violence. Based on analysis of project materials, media texts and expert interviews related to two such violence prevention programmes, the study illuminates how caregiver violence is made intelligible through a combination of three kinds of understanding: institutional, humane and therapeutic. It is suggested that these understandings offer a way forward in thinking about the complex, sensitive topic of caregiver violence in sociological research on care.